PriceForecast/juxitingzhududataset/model_evaluation.csv

1	模型(Model)	平均平方误差(MSE)	均方根误差(RMSE)	平均绝对误差(MAE)
2	MLPMultivariate	2.001	1.414	1.032
3	BiTCN	2.003	1.415	1.099
4	NHITS	2.025	1.423	1.088
5	iTransformer	2.046	1.43	1.09
6	TiDE	2.152	1.467	1.134
7	TSMixer	2.215	1.488	1.178
8	NLinear	2.242	1.497	1.143
9	FEDformer	2.264	1.505	1.169
10	DeepNPTS	2.301	1.517	1.202
11	GRU	2.301	1.517	1.147
12	MLP	2.31	1.52	1.177
13	PatchTST	2.313	1.521	1.153
14	DilatedRNN	2.445	1.564	1.2
15	TSMixerx	2.486	1.577	1.236
16	Informer	2.598	1.612	1.215
17	TFT	2.699	1.643	1.262
18	DLinear	2.784	1.668	1.269
19	LSTM	3.986	1.996	1.722
20	StemGNN	5.342	2.311	1.863
21	TCN	7.324	2.706	2.371
22	RNN	14.527	3.811	2.512